A method study for comprehensive diagnostics of multivariate telemetry parameters in spacecraft
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摘要: 为提高航天器在轨综合诊断效率,提出基于混合赋权—动态时间规整(Dynamic Time Warping, DTW)相结合的综合诊断方法。首先,运用归一化与层次分析法相结合的混合赋权方法,确定航天器多属性参数的权值系数。依据该权值系数可获取航天器运行状态的综合特征参数,从而将多参数诊断转换为单一综合特征曲线判读。其次,提出基于特征提取的DTW距离计算方法,将综合特征参数判读转换成时间序列相似性度量问题。最后,通过综合特征参数的最佳DTW距离与度量阈值进行比较,即可实现航天器多遥测参数综合诊断。运用该方法,对航天员出舱过程中的泄压流程进行综合诊断,分析结果表明该方法具有灵敏度高、计算简单、易于实现等特点,为航天器在轨关键事件诊断及健康管理提供了一种有效方法。Abstract: In order to improve the comprehensive diagnostic efficiency of spacecraft on orbit, a comprehensive diagnostic method is proposed based on mixed weighted and dynamic time warping (DTW) algorithms. Firstly, a mixed weighted method combining normalization and the analytic hierarchy process (AHP) is applied to determine the weighting coefficients of multivariate telemetry parameters for spacecraft. Using these weighting coefficients, comprehensive characteristic parameters representing the operational state of the spacecraft can be obtained, thereby transforming multi-parameter diagnosis into single comprehensive characteristic curve analysis. Secondly, a DTW distance calculation method is introduced, which converts the comprehensive characteristic parameter judgment into a time-series similarity measurement problem. Finally, by comparing the optimal DTW distance of comprehensive characteristic parameters with the measurement threshold, the integrated diagnostic of multiple parameters for spacecraft can be achieved. By applying the method described in this paper, a comprehensive diagnostic of the depressurization process during an astronaut’s extravehicular activity was conducted. The analysis results indicate that the method features high sensitivity, simple computation and easy implementation, providing an effective method for the diagnosis of key events and health management of spacecraft in orbit.
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